The use of deep learning , which has some impressive results, appears to be a current trend. Data manually labeled as "hate" examples allows a computer to learn to label other data autonomously.
But progress remains to be made and further research is needed to successfully take into account lexical features combined with syntactic and contextual parameters to identify all forms of hate speech in user-generated content online.
Despite some progress, a fundamental question remains tunisia mobile database unanswered. Even if we were to manage to reduce or even suppress hate speech on the Internet, can we hope to eliminate hate itself?The Conversation
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March 22, 2019
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By Alexandre Bouniol, France Télévisions, MediaLab
Advertising in France is doing well, thank you very much. The Institute of Research and Studies in Advertising (IREP), France Pub and Kantar Media have presented the results of BUMP, a unified barometer of the advertising market. Double-digit growth for digital, stability for other advertising investments and the rise of DOOH displays, Méta-Media looks back at the presentation of the results of the advertising market in 2018.
Digital, the driving force of the advertising market in France in 2018
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